Postdoctoral Associate
Blacksburg, VA · On-site
They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for ... learning, and agentic science. Qualifications : Required : • Ph.D. in Chemistry, Chemical ...
Postdoctoral Associate
Blacksburg, VA · On-site
They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for ... learning, and agentic science. Qualifications : Required : • Ph.D. in Chemistry, Chemical ...
We are seeking a Postdoctoral Research Associate (Postdoc) to develop a deep learning pipeline ... Camille Bilodeau's research group in the Department of Chemical Engineering at the University of ...
We are seeking a Postdoctoral Research Associate (Postdoc) to develop a deep learning pipeline ... Camille Bilodeau's research group in the Department of Chemical Engineering at the University of ...
Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning. * Conduct research and experiments to explore new AI techniques and ...
Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning. * Conduct research and experiments to explore new AI techniques and ...
Postdoctoral Associate
Blacksburg, VA · On-site
$62K/yr
Postdoctoral Associate Job no: 536321 Work type: Research Faculty Senior management: College of ... learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering, Materials Science ...
Postdoctoral Associate
Blacksburg, VA · On-site
$62K/yr
Postdoctoral Associate Job no: 536321 Work type: Research Faculty Senior management: College of ... learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering, Materials Science ...
Postdoctoral Associate
Blacksburg, VA · On-site
Postdoctoral Associate Apply now Back to search results Job no: 536321 Work type: Research Faculty ... learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering, Materials Science ...
Postdoctoral Associate
Blacksburg, VA · On-site
Postdoctoral Associate Apply now Back to search results Job no: 536321 Work type: Research Faculty ... learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering, Materials Science ...
Sr. AI Platform Developer - Python & ML
Herndon, VA · On-site
$124K - $168K/yr
... reinforcement learning) and neural network architectures like CNNs and RNNs. * AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
Quick apply
Sr. AI Platform Developer - Python & ML
Herndon, VA · On-site
$124K - $168K/yr
... reinforcement learning) and neural network architectures like CNNs and RNNs. * AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
... Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) * Good understanding and ... Experience in resolving workflow problems through automation optimization * Experience in ...
... Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) * Good understanding and ... Experience in resolving workflow problems through automation optimization * Experience in ...
Postdoctoral Associate
Blacksburg, VA · On-site
They are seeking multiple postdoctoral associates in Artificial Intelligence focused on ... in Scientific Machine Learning (SciML). • Collaborating with members of the group as well as ...
Postdoctoral Associate
Blacksburg, VA · On-site
They are seeking multiple postdoctoral associates in Artificial Intelligence focused on ... in Scientific Machine Learning (SciML). • Collaborating with members of the group as well as ...
Job Summary : The University of Virginia is seeking a highly motivated Postdoctoral Research ... the role of alternative splicing in Type 1 Diabetes using machine learning approaches.
Job Summary : The University of Virginia is seeking a highly motivated Postdoctoral Research ... the role of alternative splicing in Type 1 Diabetes using machine learning approaches.
AI Platform Developer
Herndon, VA · On-site
... reinforcement learning) and neural network architectures like CNNs and RNNs. * AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
Quick apply
AI Platform Developer
Herndon, VA · On-site
... reinforcement learning) and neural network architectures like CNNs and RNNs. * AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning.
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning.
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning.
Quick apply
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning.
Senior AI/ML Scientist
Virginia Beach, VA · On-site
$143K - $229K/yr
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems. * Lead in the development and testing of appropriate ML ...
Senior AI/ML Scientist
Virginia Beach, VA · On-site
$143K - $229K/yr
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems. * Lead in the development and testing of appropriate ML ...
Autonomy Engineer (Chantilly, VA; Denver Metro Area; Herndon, VA; Hybrid; Northern Virginia)
Chantilly, VA · Hybrid
$140K - $190K/yr
Qualifications Bachelor's degree or higher in Computer/Data Science or related field. Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms Experience that ...
Autonomy Engineer (Chantilly, VA; Denver Metro Area; Herndon, VA; Hybrid; Northern Virginia)
Chantilly, VA · Hybrid
$140K - $190K/yr
Qualifications Bachelor's degree or higher in Computer/Data Science or related field. Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms Experience that ...
Autonomy Engineer
Chantilly, VA · Hybrid
$140K - $190K/yr
Experience with reinforcement learning libraries such as RLLib or Gym * Experience with development in Python * Experience with space-based hardware and software, or adjacent aerospace experience
Autonomy Engineer
Chantilly, VA · Hybrid
$140K - $190K/yr
Experience with reinforcement learning libraries such as RLLib or Gym * Experience with development in Python * Experience with space-based hardware and software, or adjacent aerospace experience
Autonomy Engineer (Chantilly, VA; Denver Metro Area; ...)
Chantilly, VA · On-site
$140K - $190K/yr
Experience with reinforcement learning libraries such as RLLib or Gym * Experience with development in Python * Experience with space-based hardware and software, or adjacent aerospace experience
Autonomy Engineer (Chantilly, VA; Denver Metro Area; ...)
Chantilly, VA · On-site
$140K - $190K/yr
Experience with reinforcement learning libraries such as RLLib or Gym * Experience with development in Python * Experience with space-based hardware and software, or adjacent aerospace experience
As a key member of the research team, the postdoctoral researcher will develop novel physics ... The candidate should have a strong machine-learning research record, rigorous mathematical and ...
As a key member of the research team, the postdoctoral researcher will develop novel physics ... The candidate should have a strong machine-learning research record, rigorous mathematical and ...
TS195 Autonomy Engineer with Security Clearance
Chantilly, VA · On-site
$140K - $190K/yr
Bachelor's degree or higher in Computer/Data Science or related field. * Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms * Experience with reinforcement ...
TS195 Autonomy Engineer with Security Clearance
Chantilly, VA · On-site
$140K - $190K/yr
Bachelor's degree or higher in Computer/Data Science or related field. * Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms * Experience with reinforcement ...
Why work in the Gregus/Buczynski Lab? work in the Gregus/Buczynski Lab? Strong funding & project ... learning as much as prior technical expertise. Note: Candidates with complementary training ...
Why work in the Gregus/Buczynski Lab? work in the Gregus/Buczynski Lab? Strong funding & project ... learning as much as prior technical expertise. Note: Candidates with complementary training ...
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning. Apply Now Share This Job
This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics ... Experience with reinforcement learning. Apply Now Share This Job
Postdoctoral In Reinforcement Learning information
What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader applications including data analysis, predictive modeling, and AI research |
Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.
What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?
To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.
What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?
Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.
What is a postdoctoral researcher in reinforcement learning?
A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Virginia? For Postdoctoral In Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Virginia look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Virginia are:
What cities in Virginia are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Virginia with the most Postdoctoral In Reinforcement Learning job openings:
Virginia Tech rating
7.8
Based on 65 frontline employees who took The Breakroom Quiz
229th of 617 rated colleges and universities
Job description
Job Summary:
Virginia Tech is a leading global research institution dedicated to knowledge and creativity. They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for computational catalysis and experimental design, collaborating with interdisciplinary research groups in materials discovery.
Responsibilities:
• Contribute to building AI-native frameworks that combine physics-based modeling, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems.
• Collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science.
Qualifications:
Required:
• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models.
• Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems.
• Demonstrated experience with agentic AI, including automated data curation, ML model integration, workflow orchestration, or AI-assisted experimental design.
• Proven ability to conduct independent research, collaborate across disciplines, and publish high-quality scientific work.
Company:
Virginia Tech is a public research university that offers a range of academic programs and conducts research across various fields. Founded in 1872, the company is headquartered in Blacksburg, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Virginia Tech is a leading global research institution dedicated to knowledge and creativity. They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for computational catalysis and experimental design, collaborating with interdisciplinary research groups in materials discovery.
Responsibilities:
• Contribute to building AI-native frameworks that combine physics-based modeling, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems.
• Collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science.
Qualifications:
Required:
• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models.
• Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems.
• Demonstrated experience with agentic AI, including automated data curation, ML model integration, workflow orchestration, or AI-assisted experimental design.
• Proven ability to conduct independent research, collaborate across disciplines, and publish high-quality scientific work.
Company:
Virginia Tech is a public research university that offers a range of academic programs and conducts research across various fields. Founded in 1872, the company is headquartered in Blacksburg, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
What Virginia Tech employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Virginia Tech
Sourced by ZipRecruiter
Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Blacksburg, VA, US
Year founded
1872